Peimin Chen
Impact in
Papers in
- Finance 17
- Stochastic processes and financial applications 12
- Financial Risk and Volatility Modeling 4
- Financial Markets and Investment Strategies 3
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- Insurance and Financial Risk Management 4
- Co-authors
- Ko‐Jiunn Liu (3 shared papers)Ming‐Shyen Yen (3 shared papers)B. Linju Yen (3 shared papers)Huey‐Kang Sytwu (2 shared papers)Young‐Chang Hou (1 shared paper)Yu Wang (1 shared paper)Chunchi Wu (7 shared papers)Jiang Zhu (3 shared papers)
- Journals
- Optimization (3 papers)Journal of Computational and Applied Mathematics (2 papers)Real Estate Economics (1 paper)Clinical Neurology and Neurosurgery (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Peimin Chen
36 papers receiving 477 citations
Peers
Comparison fields: 5 of 97
- Genetics 133
- Finance 42
- Computer Vision and Pattern Recognition 67
- Cancer Research 41
- Developmental Neuroscience 10
Countries citing papers authored by Peimin Chen
This map shows the geographic impact of Peimin Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peimin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peimin Chen more than expected).
Fields of papers citing papers by Peimin Chen
This network shows the impact of papers produced by Peimin Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peimin Chen. The network helps show where Peimin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peimin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 136 | |
| 2 | 2015 | 67 | |
| 3 | 2018 | 45 | |
| 4 | 2019 | 45 | |
| 5 | 2002 | 39 | |
| 6 | 2000 | 26 | |
| 7 | 2017 | 19 | |
| 8 | 2013 | 17 | |
| 9 | 2002 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2013 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2002 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2019 | 3 |
About Peimin Chen
Peimin Chen is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Demography and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 502 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (12 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Probability and Risk Models (4 papers), Insurance and Financial Risk Management (4 papers), Risk and Portfolio Optimization (4 papers), Financial Risk and Volatility Modeling (4 papers), Financial Markets and Investment Strategies (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Genetics (133 citations), Finance (42 citations), Computer Vision and Pattern Recognition (67 citations), Cancer Research (41 citations) and Developmental Neuroscience (10 citations). Peimin Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ko‐Jiunn Liu, Ming‐Shyen Yen, B. Linju Yen, Huey‐Kang Sytwu, Young‐Chang Hou, Yu Wang, Chunchi Wu, Jiang Zhu, Hong Xie and Pei‐Ju Hsu. Their work appears in journals such as Optimization, Journal of Computational and Applied Mathematics, Real Estate Economics, Clinical Neurology and Neurosurgery and International Journal of Surgery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.